Table 2

Weibull survival model of live-streaming activity

VariablesModel 1
Only controls
Model 2
Hypothesis 1
Model 3
Hypothesis 2
Hazard ratio (SE)p-valueHazard ratio (SE)p-valueHazard ratio (SE)p-value
Gender  0.58(0.12)0.006**0.47(0.11)0.001**
Social unrest  1.38(0.41)0.2721.00(0.35)0.990
Gender × Social unrest    2.53(1.19)0.048*
SEZ2.30(0.81)0.017*2.33(0.83)0.017*2.34(0.83)0.017*
Coastal_open_city1.12(0.32)0.6831.21(0.36)0.5081.22(0.36)0.490
GDP Growth Rate1.02(0.05)0.7641.02(0.06)0.6721.02(0.06)0.677
Num_unemployed0.91(0.17)0.6110.88(0.16)0.4770.88(0.16)0.491
Num_hosp2.74(1.42)0.0532.35(1.22)0.0992.64(1.38)0.063
Num_bus0.87(1.10)0.9140.44(0.62)0.5620.44(0.62)0.559
Constant0.00(0.00)0.000***0.00(0.00)0.000***0.00(0.00)0.000***
Clustered by Province IDsYes Yes Yes 
Year dummiesIncluded Included Included 
Log likelihood−417.91 −413.24 −411.33 
Wald Chi-square117.80 127.13 130.95 
N1,329 1,329 1,329 

Note(s): The hazard rate of engaging in the very first live-streaming activity is the dependent variable. We report odds ratios, standard errors (SE), and p values. Odds ratios are interpreted as the proportional change in hazard rate from a one-unit increase in the predictor of interest. The value of one indicates no change. The values less than one suggest that increases in predictors of interest decrease the hazard rate, and those greater than one denote that increases in predictors of interest increase the hazard rate

*p < 0.05, **p < 0.01, ***p < 0.001

Source(s): Table by authors

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